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Get your GA4 tables exported much easier with this query generator:



info
Generate queries to simplify the data that GA4 exports to your Google BigQuery. Create a new version of your tables with that data so you can query easier and cheaper.
In addition, these tables can be connected to Google Sheets, Looker Studio or the tool of your choice as they are flattened and do not use RECORD or ARRAY data.


1. Google Analytics 4 Google BigQuery (GBQ) table location



GBQ Project:
(required)
GBQ dataset:
(required)
GBQ table:
events_YYYYMMDD



2. Select Date Range



Start date:
2024-04-07
End date:
2024-04-07
Do not use dates, create a parameter (@run_date) for scheduled queries
0
2
Days to be subtracted from the scheduled day



3. Select groups of data fields to extract



Web Pages data (page title, page location, referrer, ...)
App Screens data (screen name, screen class, ...)
Device & system data (device brand, browser, etc.) - device_category allways is extracted.
Geo data (country, city, etc.) - geo_country allways is extracted.
App data (app version, install source, etc.)
Campaign user first interaction data (campaign, medium & source)
Campaign event data (campaign, medium, source, content, ...)
Ecommerce global data
Ecommerce first item data
Consent Data (analytics_storage, ...)
LTV (Life time value) Metrics



4. Create Data Filters


Exclude
no-consent data (pings with no granted analytics_storage)
No filter
this data stream ID’s :
(comma separated)
Exclude
this event names :
session_start,user_engagement
(comma separated)



5. Extract Conversions based on Event Names


Events to be posted

System Events:
first_visit,page_view
(comma separated)
Ecommerce Events:
view_item,add_to_cart,begin_checkout,purchase
(comma separated)
Recommended Events:
sing_up,login,select_content
(comma separated)
Custom Events:
(comma separated)



6. Extract Conversions based on event+param+regex values ​(not real GA4 conversions)



Extract Custom Conversion 1:
Conversion name:
(e.g. “thanks”)
Event names to watch:
(e.g. “page_view")
Params to watch:
(e.g. “page_location”)
Regex to match in params:
(e.g. “^.*/thanks.html$”)
Extract Custom Conversion 2:
Conversion name:
Event names to watch:
Params to watch:
Regex to match in params:
Extract Custom Conversion 3:
Conversion name:
Event names to watch:
Params to watch:
Regex to match in params:



7. Extract Custom User Properties



(comma separated)
Leave the field blank if you do not want to extract any user property



8. Extract Event Custom Params/Dimensions



(comma separated)
Leave the field blank if you do not want to extract any user property



9. Extract Session Scope (Landing/Exit) params/dimensions



Extract Collection 1 (by default: landing_view/exit_view/prev_view web & app mixed)
Collection name:
view
Events to watch:
page_view,screen_view
(comma separated)
Params to extract:
page_location,screen_name
(comma separated)

Extract Collection 2
Collection name:
Events to watch:
(comma separated)
Params to extract:
(comma separated)

Extract Collection 3
Collection name:
Events to watch:
(comma separated)
Params to extract:
(comma separated)



Your Google BigQuery query to model

GA default extraction tables

Set as subquery using “WITH”
1. Copy query to clipboard
code-file

Your SQL Code:

ERROR: set GBQ project an dataset fields





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